Dan Wei

2.1k citations
61 papers · 1.3k · 1 hit paper · h-index 17

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 3
    • Single-cell and spatial transcriptomics 3
    • Cancer Cells and Metastasis 10

Dan Wei

59 papers receiving 1.3k citations

Dan Wei's Hit Papers

Nanoparticles Coated with Neutrophil Membranes Can Effectively Treat Cancer Metastasis 2017 · 462 citations
4620+3+6Years since publication100200300400

Peers

Dan Wei
Comparison fields: 5 of 129
  • Biomaterials 272
  • Biomedical Engineering 594
  • Immunology 223
  • Genetics 81
  • Reproductive Medicine 61
Replace Lan Cao with:
Lan Cao China
Bashir M. Mohamed Ireland
Yasunori Kitamoto Japan
Aya Matsui Japan
Joan M. Bull United States
Tetsuji Okamoto Japan
Liwei Zhao China
Roberta Di Pietro Italy
Bin Qiao China
Michael R. Johnston Canada
Dan Wei relative to Lan Cao China Lan Cao's profile →
Citations per field
00.5×1.5×
Lan Cao · 1×
Citations per year

Countries citing papers authored by Dan Wei

Since Specialization
Citations

This map shows the geographic impact of Dan Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wei more than expected).

Fields of papers citing papers by Dan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dan Wei. The network helps show where Dan Wei may publish in the future.

Co-authors

The 25 scholars most cited alongside Dan Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Wei Line = papers co-authored together Dan Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nanoparticles Coated with Neutrophil Membranes Can Effectively Treat Cancer Metastasis
Hit paper breakdown →
2017462
2 201988
3 201667
4 202067
5 201763
6 201747
7 201645
8 202239
9 201335
10 199432
11 201424
12 201621
13 201920
14 201819
15 201519
16 201718
17 201816
18 201916
19 201415
20 199214

About Dan Wei

Dan Wei is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Genetics and Cardiology and Cardiovascular Medicine, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Mesenchymal stem cell research (6 papers), Viral Infections and Immunology Research (6 papers), Biosensors and Analytical Detection (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Single-cell and spatial transcriptomics (3 papers) and Acute Ischemic Stroke Management (3 papers). The work is most often cited by research in Biomaterials (272 citations), Biomedical Engineering (594 citations), Immunology (223 citations), Genetics (81 citations) and Reproductive Medicine (61 citations). Dan Wei has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xunbin Wei, Xiaoling Gao, Jun Chen, Qingxiang Song, Tianze Jiang, Ting Kang, Jingxian Feng, Hongzhuan Chen, Qianqian Zhu and Xuebiao Yao. Their work appears in journals such as Cytometry Part A, Journal of Controlled Release, Advanced Functional Materials, Biomedical Optics Express and Molecular and Cellular Biochemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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